A hybrid approach for semantic enrichment of MathML mathematical expressions

  • Authors:

  • Minh-Quoc Nghiem;Giovanni Yoko Kristianto;Goran Topić;Akiko Aizawa

  • Affiliations:

  • The Graduate University for Advanced Studies, Tokyo, Japan;The University of Tokyo, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan;The University of Tokyo, Tokyo, Japan and National Institute of Informatics, Tokyo, Japan

  • Venue:
  • CICM'13 Proceedings of the 2013 international conference on Intelligent Computer Mathematics
  • Year:
  • 2013

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Abstract

In this paper, we present a new approach to the semantic enrichment of mathematical expression problem. Our approach is a combination of statistical machine translation and disambiguation which makes use of surrounding text of the mathematical expressions. We first use Support Vector Machine classifier to disambiguate mathematical terms using both their presentation form and surrounding text. We then use the disambiguation result to enhance the semantic enrichment of a statistical-machine-translation-based system. Experimental results show that our system archives improvements over prior systems.